Responsibilities
- Design and manage full lifecycle data platforms and pipelines, including data collection, processing, storage, and integration with machine learning and large language models, while optimizing for performance, reliability, security, and cost-efficiency.
- Gradually expand data infrastructure to support growing user demand, implementing controlled deployment strategies and defining key data quality benchmarks to maintain system stability.
- Convert strategic business objectives into defined data initiatives by analyzing requirements, scoping problems, drafting technical proposals, and organizing work into executable projects.
- Define and uphold engineering excellence across systems, including test frameworks, evaluation methods, monitoring, data interface standards, and security protocols, balancing rapid development with long-term scalability.
- Elevate team capabilities through technical leadership, sharing best practices, mentoring senior engineers, and enhancing knowledge sharing via documentation and collaborative coding.
- Operate effectively in a dynamic startup setting—adaptable to change, comfortable with uncertainty, and proactive in improving processes, documentation, and system reliability without unnecessary complexity.
- Lead cross-functional coordination between AI, software engineering, DevOps, product, and design teams to develop innovative solutions, while mentoring junior staff and promoting a culture of teamwork and creativity.
- Develop and deploy experimental AI and machine learning features, assess technical viability and return on investment, and make informed decisions about production deployment considering operational costs and risks.
Work Arrangement
Hybrid — Berlin
Team
The engineering team is based in Europe and New York, with business operations centered in New York City. The company was founded by ad-tech veterans with experience at major technology firms. The organization is globally distributed and backed by prominent investors in the enterprise and financial sectors.
About Bluefish
The company is built on the vision that AI will redefine how people interact with digital content, creating a new internet paradigm where brands must adapt their storytelling for AI-driven audiences. It is developing a platform that enables enterprises to manage brand safety and deliver personalized marketing experiences through AI. The founding team has prior experience building core advertising technologies acquired by Meta and Microsoft. The platform serves Fortune 500 clients and has raised $43 million in Series B funding led by Threshold Ventures and NEA, with support from Amex Ventures, TIAA Ventures, Salesforce Ventures, and Bloomberg Beta.
Why Bluefish & Our Values
Opportunity to join an early-stage AI startup shaping the future of marketing technology. Solve complex, open-ended challenges in a sector ripe for disruption. Work alongside a high-caliber team with direct impact and ownership. Benefit from a performance-driven culture with strong growth potential. Core values include resilience and ingenuity, strategic foresight, cross-functional collaboration, dedication to high-quality execution, initiative and accountability, and adaptability in ambiguous environments.
